Identification of ZINC database-derived antitrypanosomal candidates targeting Trypanosoma congolense lysosomal-α-mannosidase using computational, biochemical and in vivo methods.

Adebayo AS, Ibrahim B, Abdullahi AD, Abubakar M, Hidayat AFA, Mohamad SB, Ibrahim YKE, Ibrahim MA

Open source

DOI
10.1016/j.exppara.2026.109156
Published
2026 Aug
Container
Experimental parasitology
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.exppara.2026.109156,
  title = {Identification of ZINC database-derived antitrypanosomal candidates targeting Trypanosoma congolense lysosomal-α-mannosidase using computational, biochemical and in vivo methods.},
  author = {Adebayo AS and Ibrahim B and Abdullahi AD and Abubakar M and Hidayat AFA and Mohamad SB and Ibrahim YKE and Ibrahim MA},
  year = {2026},
  journal = {Experimental parasitology},
  doi = {10.1016/j.exppara.2026.109156},
  url = {https://doi.org/10.1016/j.exppara.2026.109156}
}

RIS

TY  - JOUR
TI  - Identification of ZINC database-derived antitrypanosomal candidates targeting Trypanosoma congolense lysosomal-α-mannosidase using computational, biochemical and in vivo methods.
AU  - Adebayo AS
AU  - Ibrahim B
AU  - Abdullahi AD
AU  - Abubakar M
AU  - Hidayat AFA
AU  - Mohamad SB
AU  - Ibrahim YKE
AU  - Ibrahim MA
PY  - 2026
JO  - Experimental parasitology
DO  - 10.1016/j.exppara.2026.109156
UR  - https://doi.org/10.1016/j.exppara.2026.109156
ER  - 

APA

AS, A., B, I., AD, A., M, A., AFA, H., SB, M., YKE, I., & MA, I. (2026). Identification of ZINC database-derived antitrypanosomal candidates targeting Trypanosoma congolense lysosomal-α-mannosidase using computational, biochemical and in vivo methods.. Experimental parasitology. https://doi.org/10.1016/j.exppara.2026.109156

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